
Senior Voice AI Engineer — HIPAA-Compliant AI Receptionist Platform
Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.
About AISpire360
We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.
The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.
We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.
What You'll Own
You are the technical anchor for the voice agent. You will be responsible for:
Real-time voice system
- Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
- STT and TTS configuration, voice tuning, language and accent handling
- Turn-taking, barge-in, end-of-speech detection, latency budgets
- Driving end-to-end voice latency below 700ms (we currently target 600ms)
- Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
- Silence-detection optimization for outbound calls (95% silence-discount realization)
HIPAA + PHI infrastructure
- BAA-compliant hosting architecture (AWS-based, BAA in place)
- PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
- Encryption in transit and at rest, audit logging, 7-year retention compliance
- Access controls, RBAC, kill-switch infrastructure
- HIPAA Security Rule compliance for technical safeguards
Agent orchestration and tools
- LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
- Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
- Multi-turn conversation state management
- Multi-topic call handling and structured task generation
- Safety-critical keyword detection and escalation routing
Integrations
- EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
- Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
- Calendar integration (Google Calendar, Microsoft 365, Cal.com)
- SMS and email gateways (Twilio, SendGrid)
- Practice-specific webhooks for task manager surfacing
Multi-tenant platform foundations
- Per-practice configuration loading (specialty profile + practice profile)
- Per-tenant isolation, data segregation
- Specialty-specific intake schemas, triage rules, safety keywords
- Production observability (tracing, metrics, latency monitoring per practice)
Required Experience
You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:
- 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
- Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
- HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
- AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
- AWS Comprehend Medical or equivalent PHI detection experience.
- Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
- Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
- LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
- Python or TypeScript fluency. Production code, not scripts.
- API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).
Nice to Have
- Healthcare domain experience (EHRs, clinical workflows, medical terminology)
- Prior auth or eligibility verification workflow experience
- Multi-tenant SaaS architecture experience
- SOC 2 audit experience
- Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
- Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
- Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)
What This Engagement Looks Like
- Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
- Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
- Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
- You sign a BAA with us. This is non-negotiable due to the nature of the work.
- You are eligible for future equity grants as we formalize the team structure.
- Direct working relationship with our CTO (London-based) and founders (NYC and India).
- Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.
How We'll Evaluate You
Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.
- Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
- Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
- System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
- Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.
Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.
What We Will NOT Accept
- Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
- Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
- "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
- Engagement structures that conflict with this being your primary work.
How to Apply
Send a brief message with:
- A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
- Two or three sentences on why this role fits you specifically — not a generic cover letter.
- Your current compensation expectation in USD per month.
- Your earliest start date and current time-zone availability.
We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.

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Here's the full description — paste-ready for Naukri. Use the B button for the bold headers and the bullet-list button for the lists as you go.
Shopify and AI Developer – Full-Time Remote
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Hours
Flexible, with a minimum 3-hour overlap with Canadian Central Time mornings (approximately 6:30 PM to 9:30 PM IST).
How to apply
Applications missing any of the following will not be reviewed:
- A Loom video (3 to 5 minutes) showing one Shopify store you built AND one automation or AI tool you built. Walk us through what it does and the decisions you made.
- Links to live work: stores, automations, or tools, with your specific role on each
- Your expected monthly salary
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Shortlisted candidates complete a small test task before final interviews.
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Required Experience
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*Must speak fluent english*
Video Pre-Screen Interview Required... After submitting please also visit here to apply & start the initial video interview:
Job description
We believe cloud based technology has changed how we work. Our commercial lending SaaS platform empowers our client base of brokers and lenders to create a seamless borrower experience, manage a network of brokers, & scale their entire lending organization in the cloud powered by LendingWise
Company Description
Do you want to work for a company powering the digital lending transformation across numerous lending verticals? We work to make a lending platform that is robust, customizable, & turnkey for numerous business purpose lending products like residential/commercial real estate lending, business funding, SBA, Equipment, MCA and more. The lending suite of products includes a CRM, LOS, Marketplace, and Servicing capabilities, ALL-IN-ONE platform. It’s the holy grail for every private lender/commercial lender/bank/Credit Union or broker of any size. We launched in early 2018 and have seen explosive growth nationwide.
Position Summary
LendingWise is looking for a Full Stack Developer/Architect who has the ability to define, develop and manage the existing architecture strategy for the LendingWise platform & its inter-connected products related to CRM, LOS, Servicing & Marketplace of lenders. You will be responsible for introducing new applications, services, and technologies into the LendingWise technical landscape and you will take responsibility for the initiatives you designed. You will need expert level knowledge of a variety of business domains including, but not limited to, CRM, Loan Origination, Loan Servicing, Payment integration, & API connectivity for various integrations for mortgage vendors (Plaid, Corelogic, DocMagic, Docusign, etc… & CRMs like hubspot, salesforce, etc… You need to manage input from our product owner/manager & CEO and assume overall responsibility for the execution of multiple, large-scale, mission critical initiatives. You will be accountable to a variety of primary business stakeholders for the quality and success of programs assigned to you. An acute sense of attention to detail is necessary. This role requires working with teams within and outside the USA. Flexibility in working hours will be required.
Key Responsibilities
Help plan, architect, & review various phases, features, bugs, & enhancements of the CRM, Loan Origination, & Loan Servicing platform & API connectivity hub
Introduce new tools and fresh insights to assist with development goals
Work on new features, enhancements, bugs & refactor code to MVC structure within the LendingWise platform
Requirements
Deep knowledge of Core PHP & other PHP frameworks, including strong experience with MVC patterns
JavaScript, HTML, Bootstrap
MySQL & Stored Procedures
Excellent skills in object-oriented programming and MVC design patterns
Comfortable working with SSH command line & GitHub version control, & PHP Storm
Solid knowledge of RESTful API endpoints
Multi-tenant CRM, ERP, Real Estate, Loan or FinTech Experience required
Compensation:
Competitive Salary & Bonuses
2 weeks paid time off annually
Flexible work schedule
Job Type: Full-time
Location:
Remote
ROLES AND RESPONSIBILITIES
As a Full Stack Developer at GoQuest Media, you will play a key role in building and maintaining
web applications that deliver seamless user experiences for our global clients. From
brainstorming features with the team to executing back-end logic, you will be involved in every
aspect of our application development process.
You will be working with modern technologies like NodeJS, ReactJS, NextJS, and Tailwind CSS
to create performant, scalable applications. Your role will span both front-end and back-end
development as you build efficient and dynamic solutions to meet the company’s and users’
needs.
What will you be accountable for?
● End-to-End Development:
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● Take ownership of both front-end (ReactJS, NextJS, Tailwind CSS) and back-end
(NodeJS) development processes.
● Feature Implementation:
● Work closely with designers and product managers to translate ideas into highly
interactive and responsive interfaces.
● Maintenance and Debugging:
● Ensure applications are optimized for performance, scalability, and reliability.
● Perform regular maintenance, debugging, and testing of existing apps to ensure
they remain in top shape.
● Collaboration:
● Collaborate with cross-functional teams, including designers, product managers,
and stakeholders, to deliver seamless and robust applications.
● Innovation:
● Stay updated with the latest trends and technologies to suggest and implement
improvements in the development process.
Tech Stack
● Front-end: ReactJS, NextJS, Tailwind CSS
● Back-end: NodeJS, ExpressJS
● Database: MongoDB (preferred), MySQL
● Version Control: Git
● Tools: Webpack, Docker (optional but a plus)
Preferred Location
This role is based out of our Andheri Office, Mumbai.
Growth Opportunities for You
● Lead exciting web application projects end-to-end and own key product initiatives.
● Develop cutting-edge apps used by leading media clients around the globe.
● Gain experience working in a high-growth company in the media and tech industry.
● Potential to grow into a team lead role.
Who Should Apply?
● Individuals with a passion for coding and web technologies.
● Minimum 3-5 years of experience in full-stack development using NodeJS, ReactJS,
NextJS, and Tailwind CSS.
● Strong understanding of both front-end and back-end development and ability to
write efficient, reusable, and scalable code.
● Familiarity with databases like MongoDB and MySQL.
● Experience with CI/CD pipelines and cloud infrastructure (AWS, Google Cloud) is a
plus.
● Team players with excellent communication skills and the ability to work in a
fast-paced environment.
Who Should Not Apply?
● If you're not comfortable with both front-end and back-end development.
● If you don’t enjoy problem-solving or tackling complex development challenges.
● If working in a dynamic, evolving environment doesn’t appeal to you.
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Responsibilities
- Architecture Design: Develop scalable and efficient AI architectures.
- Technical Guidance: Provide expertise and guidance to development teams.
- System Integration: Collaborate to integrate AI technologies into systems.
- Performance Optimization: Optimize AI models and infrastructure.
- Data Management: Manage large datasets for AI training.
- Ethical Considerations: Address ethical and privacy concerns.
- Technical Documentation: Create comprehensive technical documentation.
- Collaboration and Communication: Collaborate with stakeholders.
- Problem-Solving: Analyze and troubleshoot technical issues.
- Continuous Learning: Stay updated with AI advancements.
Requirements
- Education: Bachelors or masters degree in computer science or related field.
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- Architectural Design: Ability to design scalable and efficient AI architectures.
- System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
- Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
- Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
- Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
- Collaboration and Communication: Strong teamwork and communication skills.
- Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
- Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.
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* Excellent knowledge on API documentation
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